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TODO: fishstick Data Processing Pipeline Modules

Phase 1: Directory Structure & Core Exports

1.1 Create directory /home/runner/workspace/fishstick/data_processing/
1.2 Create __init__.py with all module exports

Phase 2: Data Loaders and Datasets Module

2.1 Create loaders.py with:
- LazyDataset: Memory-efficient lazy loading
- MappedDataset: Key-value mapped dataset
- ConcatDataset: Smart concatenation of datasets
- ChainDataset: Chaining multiple iterables
- ShuffleDataset: On-the-fly shuffling wrapper
- StatefulDataLoader: Remembers iteration state

Phase 3: Data Transformation Pipelines Module

3.1 Create transforms.py with:
- TransformPipeline: Composable transformation chain
- ConditionalTransform: Conditional application
- TransformValidator: Validates transform outputs
- BatchTransform: Apply transforms at batch level
- LazyTransform: Lazy evaluation wrapper

Phase 4: Feature Engineering Module

4.1 Create features.py with:
- PolynomialFeatures: Generate polynomial features
- InteractionFeatures: Feature interactions
- BinningTransformer: Discretize continuous features
- TargetEncoder: Target encoding for categorical
- FeatureSelector: Automated feature selection
- PCAFeatures: Dimensionality reduction

Phase 5: Data Validation Module

5.1 Create validation.py with:
- SchemaValidator: Schema-based validation
- RangeValidator: Value range checking
- StatisticalValidator: Statistical properties check
- DuplicateValidator: Detect duplicates
- ValidationReport: Detailed validation reports
- ValidatedDataset: Dataset with auto-validation

Phase 6: Streaming Data Handling Module

6.1 Create streaming.py with:
- StreamDataLoader: Infinite streaming data
- BufferedIterator: Buffered streaming iterator
- RateLimitedStream: Rate-limited data streaming
- CheckpointedStream: Streaming with checkpointing
- TransformStream: Transform streaming data

Phase 7: Utilities and Integration

7.1 Add imports to main fishstick __init__.py
7.2 Verify all modules import correctly